Dicionário de Dados

ID
id
Tipo
int4
Rótulo
index

ID
registration_date
Tipo
date
Rótulo
Date of Registration

ID
cin
Tipo
text
Rótulo
Company Identification Number

ID
state_name
Tipo
text
Rótulo
State Name

ID
state_code
Tipo
text
Rótulo
State Code

ID
roc
Tipo
text
Rótulo
Registrar of Company

ID
company_name
Tipo
text
Rótulo
Company Name

ID
company_status
Tipo
text
Rótulo
Company Status

ID
company_type
Tipo
text
Rótulo
Company Type

ID
company_class
Tipo
text
Rótulo
Company Class

ID
company_category
Tipo
text
Rótulo
Company Category

ID
act_description
Tipo
text
Rótulo
Activity Description

ID
company_address
Tipo
text
Rótulo
Company Address

ID
company_email
Tipo
text
Rótulo
Company Email

ID
authorized_capital
Tipo
numeric
Rótulo
Authorized Capital of Compnay

ID
paidup_capital
Tipo
numeric
Rótulo
Paid up Capital of Company

Informações Adicionais

Campo Valor
Dados atualizados pela última vez 24 de setembro de 2024
Metadados atualizados pela última vez 19 de dezembro de 2025
Criado 6 de outubro de 2023
Formato CSV
Licença Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://www.mca.gov.in/content/mca/global/en/data-and-reports/company-llp-info/incorporated-closed-month.html
Data insightsSome General data insights that can be drawn by dataset : Temporal Trends: Analysis of registration over months can reveal seasonal trends or changes over time. Geographical Distribution: Understanding the distribution of companies across different states. Company Characteristics: Exploration of the class, status, type, and category distribution among registered companies. Activity Analysis: Identifying prevalent activities and their descriptions among registered companies. Capital Structure: Insights into the distribution of authorized and paid-up capital can provide an understanding of the financial scale of these companies. Registrar Distribution: Analysis of the distribution of registrars involved in the registration process.
Data last updated2024-02-01 00:00:00
Data retreival date2024-02-01 00:00:00
Datastore activeTrue
FrequencyMonthly
Geo columns['state_code']
GranularityState
Has viewsTrue
Idb161a21f-d486-45a4-94d3-85042d863869
Idp readyTrue
Lgd mappingyes
MethodologyMinistry of Corporate Affairs gives the monthly report on registration of companys
Mimetypetext/csv
No indicators2
Package id91d60f24-6a02-4d98-b8f4-2a4c6478c013
Position0
Size328,5 MiB
Skumca-indian_comp_registrations-st-mn-aaa
Stateactive
States uts no36
Tags['Indian Companies', 'Corporate Registration', 'Business Data', 'Registrar of Companies', 'Company Classification', 'Capital Structure', 'Business Activities', 'Geographical Distribution.']
Url typeupload
Years covered2016-2023
Methodology Ministry of Corporate Affairs gives the monthly report on registration of companys
Indicators
Similar Resources
Granularity Level State
Data Extraction Page https://www.mca.gov.in/content/mca/global/en/data-and-reports/company-llp-info/incorporated-closed-month.html
Data Retreival Date 2024-02-01 00:00:00
Data Last Updated 2024-02-01 00:00:00
Sku mca-indian_comp_registrations-st-mn-aaa
Dataset Frequency Monthly
Years Covered 2016-2023
No of States/UT(s) 36
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Informações Adicionais nan
Number of Indicators 2
Insights from the dataset Some General data insights that can be drawn by dataset : Temporal Trends: Analysis of registration over months can reveal seasonal trends or changes over time. Geographical Distribution: Understanding the distribution of companies across different states. Company Characteristics: Exploration of the class, status, type, and category distribution among registered companies. Activity Analysis: Identifying prevalent activities and their descriptions among registered companies. Capital Structure: Insights into the distribution of authorized and paid-up capital can provide an understanding of the financial scale of these companies. Registrar Distribution: Analysis of the distribution of registrars involved in the registration process.
IDP Ready Yes
LGD Mapping Yes
Mapping Status %
Geo Columns ['state_code']